Cargando…

Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa

INTRODUCTION: In settings with high HIV prevalence, cervical cancer incidence rates are up to six‐fold higher than the global average of 13.1 cases per 100,000 women‐years. To inform strategies for global cervical cancer elimination, we used a dynamic transmission model to evaluate scalable screenin...

Descripción completa

Detalles Bibliográficos
Autores principales: Rao, Darcy White, Bayer, Cara J., Liu, Gui, Chikandiwa, Admire, Sharma, Monisha, Hathaway, Christine L., Tan, Nicholas, Mugo, Nelly, Barnabas, Ruanne V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557021/
https://www.ncbi.nlm.nih.gov/pubmed/36225139
http://dx.doi.org/10.1002/jia2.26021
_version_ 1784807208488271872
author Rao, Darcy White
Bayer, Cara J.
Liu, Gui
Chikandiwa, Admire
Sharma, Monisha
Hathaway, Christine L.
Tan, Nicholas
Mugo, Nelly
Barnabas, Ruanne V.
author_facet Rao, Darcy White
Bayer, Cara J.
Liu, Gui
Chikandiwa, Admire
Sharma, Monisha
Hathaway, Christine L.
Tan, Nicholas
Mugo, Nelly
Barnabas, Ruanne V.
author_sort Rao, Darcy White
collection PubMed
description INTRODUCTION: In settings with high HIV prevalence, cervical cancer incidence rates are up to six‐fold higher than the global average of 13.1 cases per 100,000 women‐years. To inform strategies for global cervical cancer elimination, we used a dynamic transmission model to evaluate scalable screening and treatment strategies, accounting for HIV‐associated cancer risks and weighing prevention gains against overtreatment. METHODS: We developed a dynamic model of HIV‐HPV co‐infection and disease progression, which we calibrated to KwaZulu‐Natal, South Africa. Our baseline scenario reflects the current practice of HPV vaccination with a multi‐visit screening and treatment strategy involving cytology and colposcopy triage. We evaluated 13 comparator scenarios with increased vaccination coverage and one‐time, two‐time or repeat HIV‐targeted cervical cancer screening with the following single‐visit strategies: HPV DNA testing, HPV genotyping, automated visual evaluation (AVE) and HPV DNA with AVE triage. In all scenarios, HIV antiretroviral therapy, condom use and voluntary male medical circumcision continue at baseline levels. We simulated cancer incidence under each scenario from 2020 to 2120 using the 25 best‐fitting parameter sets. We present the median and range of model output from these simulations to account for parameter uncertainty. RESULTS: We estimate that cervical cancer incidence will decrease by 87% with the continuation of current cervical cancer and HIV prevention strategies, from an age‐standardized rate per 100,000 women of 80.4 (range 58.2, 112.1) in 2020 to 10.7 (4.2, 29.9) in 2120. Scenarios scaling up vaccination and single‐visit strategies resulted in near‐ and long‐term gains. With repeat HIV‐targeted screening, incidence rates were projected to be 29–34% lower in 2030 relative to the baseline scenario, and elimination (incidence <4/100,000) was achieved with HPV DNA testing in 2095 and with AVE in 2114. A strategy of HPV DNA with AVE triage optimized the tradeoff between cancer cases averted and overtreatment. CONCLUSIONS: Single‐visit screening strategies could avert a substantial burden of cervical cancer and accelerate progress towards elimination in settings with a high burden of HIV. Increasing the screening frequency among women with HIV and reducing loss‐to‐follow‐up for treatment will be key components of a successful elimination strategy.
format Online
Article
Text
id pubmed-9557021
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-95570212022-10-16 Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa Rao, Darcy White Bayer, Cara J. Liu, Gui Chikandiwa, Admire Sharma, Monisha Hathaway, Christine L. Tan, Nicholas Mugo, Nelly Barnabas, Ruanne V. J Int AIDS Soc Research Articles INTRODUCTION: In settings with high HIV prevalence, cervical cancer incidence rates are up to six‐fold higher than the global average of 13.1 cases per 100,000 women‐years. To inform strategies for global cervical cancer elimination, we used a dynamic transmission model to evaluate scalable screening and treatment strategies, accounting for HIV‐associated cancer risks and weighing prevention gains against overtreatment. METHODS: We developed a dynamic model of HIV‐HPV co‐infection and disease progression, which we calibrated to KwaZulu‐Natal, South Africa. Our baseline scenario reflects the current practice of HPV vaccination with a multi‐visit screening and treatment strategy involving cytology and colposcopy triage. We evaluated 13 comparator scenarios with increased vaccination coverage and one‐time, two‐time or repeat HIV‐targeted cervical cancer screening with the following single‐visit strategies: HPV DNA testing, HPV genotyping, automated visual evaluation (AVE) and HPV DNA with AVE triage. In all scenarios, HIV antiretroviral therapy, condom use and voluntary male medical circumcision continue at baseline levels. We simulated cancer incidence under each scenario from 2020 to 2120 using the 25 best‐fitting parameter sets. We present the median and range of model output from these simulations to account for parameter uncertainty. RESULTS: We estimate that cervical cancer incidence will decrease by 87% with the continuation of current cervical cancer and HIV prevention strategies, from an age‐standardized rate per 100,000 women of 80.4 (range 58.2, 112.1) in 2020 to 10.7 (4.2, 29.9) in 2120. Scenarios scaling up vaccination and single‐visit strategies resulted in near‐ and long‐term gains. With repeat HIV‐targeted screening, incidence rates were projected to be 29–34% lower in 2030 relative to the baseline scenario, and elimination (incidence <4/100,000) was achieved with HPV DNA testing in 2095 and with AVE in 2114. A strategy of HPV DNA with AVE triage optimized the tradeoff between cancer cases averted and overtreatment. CONCLUSIONS: Single‐visit screening strategies could avert a substantial burden of cervical cancer and accelerate progress towards elimination in settings with a high burden of HIV. Increasing the screening frequency among women with HIV and reducing loss‐to‐follow‐up for treatment will be key components of a successful elimination strategy. John Wiley and Sons Inc. 2022-10-12 /pmc/articles/PMC9557021/ /pubmed/36225139 http://dx.doi.org/10.1002/jia2.26021 Text en © 2022 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Rao, Darcy White
Bayer, Cara J.
Liu, Gui
Chikandiwa, Admire
Sharma, Monisha
Hathaway, Christine L.
Tan, Nicholas
Mugo, Nelly
Barnabas, Ruanne V.
Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title_full Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title_fullStr Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title_full_unstemmed Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title_short Modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high HIV prevalence: estimates for KwaZulu‐Natal, South Africa
title_sort modelling cervical cancer elimination using single‐visit screening and treatment strategies in the context of high hiv prevalence: estimates for kwazulu‐natal, south africa
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557021/
https://www.ncbi.nlm.nih.gov/pubmed/36225139
http://dx.doi.org/10.1002/jia2.26021
work_keys_str_mv AT raodarcywhite modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT bayercaraj modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT liugui modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT chikandiwaadmire modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT sharmamonisha modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT hathawaychristinel modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT tannicholas modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT mugonelly modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica
AT barnabasruannev modellingcervicalcancereliminationusingsinglevisitscreeningandtreatmentstrategiesinthecontextofhighhivprevalenceestimatesforkwazulunatalsouthafrica